def test_create_week_totals():
execute_sql(c.create_week_totals)
df_test = pd.read_sql("SELECT * FROM week_totals WHERE \
distinct_id = '681CFA45-B526-4FE4-A2DF-F73F2D0CF674'", engine)
n.assert_equal(len(df_test), 56 * 6)
n.assert_equal(df_test['week'].min(), 4)
n.assert_equal(df_test['week'].max(), 9)
n.assert_equal(
df_test[
(df_test.week == 4) & (
df_test.event_type == "story completion")]["week_total"].values[0],
29)
def test_create_all_week_event_stats():
execute_sql(c.create_all_week_event_stats)
df_test = pd.read_sql("""SELECT * FROM Story_Completion_week_stats WHERE
distinct_id = '681CFA45-B526-4FE4-A2DF-F73F2D0CF674'""", engine)
# distinct_id | week_avg | total | week_active
#--------------------------------------+---------------------+-------+----
# 681CFA45-B526-4FE4-A2DF-F73F2D0CF674 | 24.6666666666666667 | 148 |
# 6
n.assert_equal(len(df_test), 1)
n.assert_equal(round(df_test['week_avg'].values[0]), 25)
n.assert_equal(df_test['total'].values[0], 148)
n.assert_equal(df_test['week_active'].values[0], 6)
check_one_row_per_user("Story_Completion_week_stats")
def test_create_day_totals():
execute_sql(c.create_day_totals)
df_test = pd.read_sql("SELECT * FROM day_totals WHERE \
distinct_id = '681CFA45-B526-4FE4-A2DF-F73F2D0CF674'", engine)
n.assert_equal(len(df_test), 56 * 38)
n.assert_equal(
df_test[
(df_test.date == "2015-01-22") & (
df_test.event_type == "story completion")]["day_total"].values[0],
4)
def test_create_all_day_event_stats():
execute_sql(c.create_all_day_event_stats)
df_test = pd.read_sql("""SELECT * FROM story_completion_day_stats WHERE
distinct_id = '681CFA45-B526-4FE4-A2DF-F73F2D0CF674'""", engine)
n.assert_equal(len(df_test), 1)
n.assert_equal(round(df_test['day_avg'].values[0]), 4)
n.assert_equal(df_test['total'].values[0], 148)
n.assert_equal(df_test['day_active'].values[0], 21)
check_one_row_per_user("story_completion_day_stats")
def test_create_all_agg_day_event_stats():
execute_sql(c.create_all_agg_day_event_stats)
df_test = pd.read_sql(
"""SELECT * FROM Story_Completion_agg_day_stats""",
engine)
n.assert_equal(len(df_test), 45)
# 2015-01-22 4 2015-01-22 1.153288 90141 15981
df_test = df_test[df_test.date == '2015-01-22']
n.assert_equal(round(df_test['agg_day_avg'].values[0]), 1)
n.assert_equal(df_test['agg_day_total'].values[0], 90141)
n.assert_equal(df_test['agg_day_unique'].values[0], 15981)
def test_create_week_totals():
execute_sql(c.create_week_totals)
df_test = pd.read_sql("SELECT * FROM week_totals WHERE \
distinct_id = '681CFA45-B526-4FE4-A2DF-F73F2D0CF674'", engine)
n.assert_equal(len(df_test), 56 * 6)
n.assert_equal(df_test['week'].min(), 4)
n.assert_equal(df_test['week'].max(), 9)
n.assert_equal(
df_test[
(df_test.week == 4) & (
df_test.event_type == "story completion")]["week_total"].values[0],
29)
def test_create_all_week_event_stats():
execute_sql(c.create_all_week_event_stats)
df_test = pd.read_sql("""SELECT * FROM Story_Completion_week_stats WHERE
distinct_id = '681CFA45-B526-4FE4-A2DF-F73F2D0CF674'""", engine)
# distinct_id | week_avg | total | week_active
#--------------------------------------+---------------------+-------+----
# 681CFA45-B526-4FE4-A2DF-F73F2D0CF674 | 24.6666666666666667 | 148 |
# 6
n.assert_equal(len(df_test), 1)
n.assert_equal(round(df_test['week_avg'].values[0]), 25)
n.assert_equal(df_test['total'].values[0], 148)
n.assert_equal(df_test['week_active'].values[0], 6)
check_one_row_per_user("Story_Completion_week_stats")
def test_create_all_week_event_stats():
execute_sql(c.create_all_week_event_stats)
df_test = pd.read_sql("""SELECT * FROM Story_Completion_week_stats WHERE
distinct_id = '681CFA45-B526-4FE4-A2DF-F73F2D0CF674'""", engine)
# distinct_id | week_avg | total | week_active
#--------------------------------------+---------------------+-------+----
# 681CFA45-B526-4FE4-A2DF-F73F2D0CF674 | 24.6666666666666667 | 148 |
# 6
n.assert_equal(len(df_test), 1)
n.assert_equal(round(df_test['week_avg'].values[0]), 25)
n.assert_equal(df_test['total'].values[0], 148)
n.assert_equal(df_test['week_active'].values[0], 6)
check_one_row_per_user("Story_Completion_week_stats")
